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Microsoft Azure Speech API is a powerful tool designed to convert spoken language into text and vice versa. It is part of the Azure Cognitive Services suite, enabling developers to integrate advanced speech processing capabilities into their applications. The API supports a wide range of languages and dialects, making it a versatile choice for global applications.
When using the Azure Speech API, you might encounter the UnsupportedLanguage error. This error typically manifests when the language specified in your request is not supported by the service. As a result, the API fails to process the request, and you receive an error message indicating the issue.
The UnsupportedLanguage error occurs when the language code provided in your API request does not match any of the languages supported by Azure Speech. This can happen if the language is not yet available in the service or if there is a typo in the language code.
The primary cause of this error is specifying a language that is not listed in the Azure Speech language support documentation. It's crucial to ensure that the language code used in your request is accurate and supported.
To resolve this issue, follow these steps:
Check the Azure Speech language support page to confirm that the language you intend to use is supported. Make sure to note the correct language code.
Once you have verified the supported languages, update your API request to use the correct language code. For example, if you initially used an unsupported code like xx-XX
, replace it with a supported code such as en-US
for English (United States).
{
"language": "en-US"
}
After updating the language code, test your application to ensure that the API requests are processed successfully without errors. Monitor the responses to confirm that the speech operations are functioning as expected.
By following these steps, you can effectively resolve the UnsupportedLanguage error in Microsoft Azure Speech API. Ensuring that you use a supported language code is crucial for the successful execution of speech processing tasks. For further assistance, refer to the Azure Speech Service documentation.
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